代码如下: print("转换结果:",text) 1. 4. 示例代码 importspeech_recognitionassr# 创建 Recognizer 对象r=sr.Recognizer()# 从音频文件中读取音频audio_file="audio.wav"withsr.AudioFile(audio_file)assource:audio=r.record(source)# 使用 Reco
model str - 是 指定模型,支持cosyvoice-v1、cosyvoice-v2。 voice str - 是 指定语音合成所使用的音色。 支持如下两种音色: 默认音色(参见音色列表)。 通过声音复刻功能定制的专属音色。使用声音复刻音色时(请确保声音复刻与语音合成使用同一账号),需将voice参数设置为复刻音色的ID,完整操作流程请参见示例代码:使...
model str - 是 指定模型名。固定为sensevoice-v1。 file_urls list[str] - 是 待识别音/视频文件的URL列表,支持HTTP / HTTPS协议,单次请求最多支持100个URL。 channel_id list[int] [0] 否 指定在多音轨文件中需要进行语音识别的音轨索引,以List的形式给出,例如[0]表示仅识别第一条音轨,[0, 1]表示...
Voice Recognition to Text Tool / 一个离线运行的本地语音识别转文字服务,输出json、srt字幕带时间戳、纯文字格式 - liuyangspace/stt
conda create -n cosyvoice python=3.10 conda activate cosyvoice # pynini is required by WeTextProcessing, use conda to install it as it can be executed on all platform. conda install -y -c conda-forge pynini==2.1.5 pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simp...
A chatbot that uses speech to text for input, sends the text to OpenAI's ChatGPT text generation model and speaks the response using text to speech. - jakecyr/chatgpt-voice-assistant
Cost Effective Voice AI for Game Developers and Creators. Cutting edge text to speech and speech to speech solutions in multiple languages, safe for commercial use. Get started today.
Development Environment:Familiarity with Python and basic asynchronous programming. Client Libraries:Tools like LiveKit, Agora, or Twilio can enhance your bot's capabilities. Setting Up the API Deploy the GPT-4o Realtime Model: Navigate to the Azure AI Studio. ...
SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices. Video demonstration(click the picture): ...
A beginner’s guide to forecast reconciliation Dr. Robert Kübler August 20, 2024 13 min read Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines...